Agent skill

Managing Incidents

by ancoleman in ancoleman/ai-design-components

Guide incident response from detection to post-mortem using SRE principles, severity classification, on-call management, blameless culture, and communication protocols.

MITAuto-check passedDevOps & Cloud

Install Managing Incidents

skills CLI
$ npx skills add ancoleman/ai-design-components --skill managing-incidents -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ancoleman/ai-design-components managing-incidents --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ancoleman/ai-design-components.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/managing-incidents .claude/skills/managing-incidents && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
managing-incidents
GitHub stars
525
Token cost
~3.6k tokens
SKILL.md length
1,496 words
Files
19 (incl. scripts, references)
Skills in repo
75
Repo updated
First seen
Licence
MIT

At a glance

Guide incident response from detection to post-mortem using SRE principles, severity classification, on-call management, blameless culture, and communication protocols.

  • Works in 4 steps: Foundation (Week 1) → Processes (Weeks 2-3) → Culture (Weeks 4+) → …
  • Setting up incident processes
  • SKILL.md covers When to Use This Skill, Core Principles, Severity Classification and Incident Roles, plus 9 more sections
  • Runs Python scripts from its folder; calls python

What it does

Managing Incidents is an agent skill from ancoleman/ai-design-components. Guide incident response from detection to post-mortem using SRE principles, severity classification, on-call management, blameless culture, and communication protocols. Use when setting up incident processes, designing escalation policies, or conducting post-mortems.

Its SKILL.md is about 3.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 22 other files, including scripts and reference files (for example `examples/communication-templates.md`, `examples/integrations/pagerduty-slack.py` and `examples/integrations/postmortem-generator.py`).

It sits in DevOps & Cloud, covering Runbooks and postmortems and Incident response. The repository describes itself as: Comprehensive UI/UX and Backend component design skills for AI-assisted development with Claude. The licence is MIT.

When your agent uses it

  • Setting up incident processes
  • Designing escalation policies
  • Conducting post-mortems

Example prompts

  • “/managing-incidents”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Foundation (Week 1)
  2. Processes (Weeks 2-3)
  3. Culture (Weeks 4+)
  4. Optimization (Months 3-6)

What it can do on your machine

Read from SKILL.md and the folder at commit 76551b7. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python, from the files we listed), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Managing Incidents loads about 3.6k tokens when it runs, and up to ~24k if it reads all its reference files. Until then it costs about 72 tokens; SKILL.md has 1,496 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~72
When it runs · the whole SKILL.md, loaded when a task matches
~3.6k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~24k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from ancoleman/ai-design-components at commit 76551b7, republished under its MIT licence (© ancoleman). 1,496 words, ~3,574 tokens.

Download SKILL.mdSave it as .claude/skills/managing-incidents/SKILL.md (or your agent's skills folder). This skill also uses 18 other files; get the full folder from GitHub.
name
managing-incidents
description
Guide incident response from detection to post-mortem using SRE principles, severity classification, on-call management, blameless culture, and communication protocols. Use when setting up incident processes, designing escalation policies, or conducting post-mortems.

Incident Management

Provide end-to-end incident management guidance covering detection, response, communication, and learning. Emphasizes SRE culture, blameless post-mortems, and structured processes for high-reliability operations.

When to Use This Skill

Apply this skill when:

  • Setting up incident response processes for a team
  • Designing on-call rotations and escalation policies
  • Creating runbooks for common failure scenarios
  • Conducting blameless post-mortems after incidents
  • Implementing incident communication protocols (internal and external)
  • Choosing incident management tooling and platforms
  • Improving MTTR and incident frequency metrics

Core Principles

Incident Management Philosophy

Declare Early and Often: Do not wait for certainty. Declaring an incident enables coordination, can be downgraded if needed, and prevents delayed response.

Mitigation First, Root Cause Later: Stop customer impact immediately (rollback, disable feature, failover). Debug and fix root cause after stability restored.

Blameless Culture: Assume good intentions. Focus on how systems failed, not who failed. Create psychological safety for honest learning.

Clear Command Structure: Assign Incident Commander (IC) to own coordination. IC delegates tasks but does not do hands-on debugging.

Communication is Critical: Internal coordination via dedicated channels, external transparency via status pages. Update stakeholders every 15-30 minutes during critical incidents.

Severity Classification

Standard severity levels with response times:

SEV0 (P0) - Critical Outage:

  • Impact: Complete service outage, critical data loss, payment processing down
  • Response: Page immediately 24/7, all hands on deck, executive notification
  • Example: API completely down, entire customer base affected

SEV1 (P1) - Major Degradation:

  • Impact: Major functionality degraded, significant customer subset affected
  • Response: Page during business hours, escalate off-hours, IC assigned
  • Example: 15% error rate, critical feature unavailable

SEV2 (P2) - Minor Issues:

  • Impact: Minor functionality impaired, edge case bug, small user subset
  • Response: Email/Slack alert, next business day response
  • Example: UI glitch, non-critical feature slow

SEV3 (P3) - Low Impact:

  • Impact: Cosmetic issues, no customer functionality affected
  • Response: Ticket queue, planned sprint
  • Example: Visual inconsistency, documentation error

For detailed severity decision framework and interactive classifier, see references/severity-classification.md.

Incident Roles

Incident Commander (IC):

  • Owns overall incident response and coordination
  • Makes strategic decisions (rollback vs. debug, when to escalate)
  • Delegates tasks to responders (does NOT do hands-on debugging)
  • Declares incident resolved when stability confirmed

Communications Lead:

  • Posts status updates to internal and external channels
  • Coordinates with stakeholders (executives, product, support)
  • Drafts post-incident customer communication
  • Cadence: Every 15-30 minutes for SEV0/SEV1

Subject Matter Experts (SMEs):

  • Hands-on debugging and mitigation
  • Execute runbooks and implement fixes
  • Provide technical context to IC

Scribe:

  • Documents timeline, actions, decisions in real-time
  • Records incident notes for post-mortem reconstruction

Assign roles based on severity:

  • SEV2/SEV3: Single responder
  • SEV1: IC + SME(s)
  • SEV0: IC + Communications Lead + SME(s) + Scribe

For detailed role responsibilities, see references/incident-roles.md.

On-Call Management

Rotation Patterns

Primary + Secondary:

  • Primary: First responder
  • Secondary: Backup if primary doesn't ack within 5 minutes
  • Rotation length: 1 week (optimal balance)

Follow-the-Sun (24/7):

  • Team A: US hours, Team B: Europe hours, Team C: Asia hours
  • Benefit: No night shifts, improved work-life balance
  • Requires: Multiple global teams

Tiered Escalation:

  • Tier 1: Junior on-call (common issues, runbook-driven)
  • Tier 2: Senior on-call (complex troubleshooting)
  • Tier 3: Team lead/architect (critical decisions)
Best Practices
  • Rotation length: 1 week per rotation
  • Handoff ceremony: 30-minute call to discuss active issues
  • Compensation: On-call stipend + time off after major incidents
  • Tooling: PagerDuty, Opsgenie, or incident.io
  • Limits: Max 2-3 pages per night; escalate if exceeded

Incident Response Workflow

Standard incident lifecycle:

Detection → Triage → Declaration → Investigation
  ↓
Mitigation → Resolution → Monitoring → Closure
  ↓
Post-Mortem (within 48 hours)
Key Decision Points

When to Declare: When in doubt, declare (can always downgrade severity)

When to Escalate:

  • No progress after 30 minutes
  • Severity increases (SEV2 → SEV1)
  • Specialized expertise needed

When to Close:

  • Issue resolved and stable for 30+ minutes
  • Monitoring shows all metrics at baseline
  • No customer-reported issues

For complete workflow details, see references/incident-workflow.md.

Communication Protocols

Internal Communication

Incident Slack Channel:

  • Format: #incident-YYYY-MM-DD-topic-description
  • Pin: Severity, IC name, status update template, runbook links

War Room: Video call for SEV0/SEV1 requiring real-time voice coordination

Status Update Cadence:

  • SEV0: Every 15 minutes
  • SEV1: Every 30 minutes
  • SEV2: Every 1-2 hours or at major milestones
External Communication

Status Page:

  • Tools: Statuspage.io, Instatus, custom
  • Stages: Investigating → Identified → Monitoring → Resolved
  • Transparency: Acknowledge issue publicly, provide ETAs when possible

Customer Email:

  • When: SEV0/SEV1 affecting customers
  • Timing: Within 1 hour (acknowledge), post-resolution (full details)
  • Tone: Apologetic, transparent, action-oriented

Regulatory Notifications:

  • Data Breach: GDPR requires notification within 72 hours
  • Financial Services: Immediate notification to regulators
  • Healthcare: HIPAA breach notification rules

For communication templates, see examples/communication-templates.md.

Runbooks and Playbooks

Runbook Structure

Every runbook should include:

  1. Trigger: Alert conditions that activate this runbook
  2. Severity: Expected severity level
  3. Prerequisites: System state requirements
  4. Steps: Numbered, executable commands (copy-pasteable)
  5. Verification: How to confirm fix worked
  6. Rollback: How to undo if steps fail
  7. Owner: Team/person responsible
  8. Last Updated: Date of last revision
Best Practices
  • Executable: Commands copy-pasteable, not just descriptions
  • Tested: Run during disaster recovery drills
  • Versioned: Track changes in Git
  • Linked: Reference from alert definitions
  • Automated: Convert manual steps to scripts over time

For runbook templates, see examples/runbooks/ directory.

Blameless Post-Mortems

Blameless Culture Tenets

Assume Good Intentions: Everyone made the best decision with information available.

Focus on Systems: Investigate how processes failed, not who failed.

Psychological Safety: Create environment where honesty is rewarded.

Learning Opportunity: Incidents are gifts of organizational knowledge.

Post-Mortem Process

1. Schedule Review (Within 48 Hours): While memory is fresh

2. Pre-Work: Reconstruct timeline, gather metrics/logs, draft document

3. Meeting Facilitation:

  • Timeline walkthrough
  • 5 Whys Analysis to identify systemic root causes
  • What Went Well / What Went Wrong
  • Define action items with owners and due dates

4. Post-Mortem Document:

  • Sections: Summary, Timeline, Root Cause, Impact, What Went Well/Wrong, Action Items
  • Distribution: Engineering, product, support, leadership
  • Storage: Archive in searchable knowledge base

5. Follow-Up: Track action items in sprint planning

For detailed facilitation guide and template, see references/blameless-postmortems.md and examples/postmortem-template.md.

Show full SKILL.md (561 more words)Show less

Alert Design Principles

Actionable Alerts Only:

  • Every alert requires human action
  • Include graphs, runbook links, recent changes
  • Deduplicate related alerts
  • Route to appropriate team based on service ownership

Preventing Alert Fatigue:

  • Audit alerts quarterly: Remove non-actionable alerts
  • Increase thresholds for noisy metrics
  • Use anomaly detection instead of static thresholds
  • Limit: Max 2-3 pages per night

Tool Selection

Incident Management Platforms

PagerDuty:

  • Best for: Established enterprises, complex escalation policies
  • Cost: $19-41/user/month
  • When: Team size 10+, budget $500+/month

Opsgenie:

  • Best for: Atlassian ecosystem users, flexible routing
  • Cost: $9-29/user/month
  • When: Using Atlassian products, budget $200-500/month

incident.io:

  • Best for: Modern teams, AI-powered response, Slack-native
  • When: Team size 5-50, Slack-centric culture

For detailed tool comparison, see references/tool-comparison.md.

Status Page Solutions

Statuspage.io: Most trusted, easy setup ($29-399/month) Instatus: Budget-friendly, modern design ($19-99/month)

Metrics and Continuous Improvement

Key Incident Metrics

MTTA (Mean Time To Acknowledge):

  • Target: < 5 minutes for SEV1
  • Improvement: Better on-call coverage

MTTR (Mean Time To Recovery):

  • Target: < 1 hour for SEV1
  • Improvement: Runbooks, automation

MTBF (Mean Time Between Failures):

  • Target: > 30 days for critical services
  • Improvement: Root cause fixes

Incident Frequency:

  • Track: SEV0, SEV1, SEV2 counts per month
  • Target: Downward trend

Action Item Completion Rate:

  • Target: > 90%
  • Improvement: Sprint integration, ownership clarity
Continuous Improvement Loop
Incident → Post-Mortem → Action Items → Prevention
   ↑                                          ↓
   └──────────── Fewer Incidents ─────────────┘

Decision Frameworks

Severity Classification Decision Tree
Is production completely down or critical data at risk?
├─ YES → SEV0
└─ NO  → Is major functionality degraded?
          ├─ YES → Is there a workaround?
          │        ├─ YES → SEV1
          │        └─ NO  → SEV0
          └─ NO  → Are customers impacted?
                   ├─ YES → SEV2
                   └─ NO  → SEV3

Use interactive classifier: python scripts/classify-severity.py

Escalation Matrix

For detailed escalation guidance, see references/escalation-matrix.md.

Mitigation vs. Root Cause

Prioritize Mitigation When:

  • Active customer impact ongoing
  • Quick fix available (rollback, disable feature)

Prioritize Root Cause When:

  • Customer impact already mitigated
  • Fix requires careful analysis

Default: Mitigation first (99% of cases)

Anti-Patterns to Avoid

  • Delayed Declaration: Waiting for certainty before declaring incident
  • Skipping Post-Mortems: "Small" incidents still provide learning
  • Blame Culture: Punishing individuals prevents systemic learning
  • Ignoring Action Items: Post-mortems without follow-through waste time
  • No Clear IC: Multiple people leading creates confusion
  • Alert Fatigue: Noisy, non-actionable alerts cause on-call to ignore pages
  • Hands-On IC: IC should delegate debugging, not do it themselves

Implementation Checklist

Phase 1: Foundation (Week 1)
  • Define severity levels (SEV0-SEV3)
  • Choose incident management platform
  • Set up basic on-call rotation
  • Create incident Slack channel template
Phase 2: Processes (Weeks 2-3)
  • Create first 5 runbooks for common incidents
  • Set up status page
  • Train team on incident response
  • Conduct tabletop exercise
Phase 3: Culture (Weeks 4+)
  • Conduct first blameless post-mortem
  • Establish post-mortem cadence
  • Implement MTTA/MTTR dashboards
  • Track action items in sprint planning
Phase 4: Optimization (Months 3-6)
  • Automate incident declaration
  • Implement runbook automation
  • Monthly disaster recovery drills
  • Quarterly incident trend reviews

Integration with Other Skills

Observability: Monitoring alerts trigger incidents → Use incident-management for response

Disaster Recovery: DR provides recovery procedures → Incident-management provides operational response

Security Incident Response: Similar process with added compliance/forensics

Infrastructure-as-Code: IaC enables fast recovery via automated rebuild

Performance Engineering: Performance incidents trigger response → Performance team investigates post-mitigation

Examples and Templates

Runbook Templates:

  • examples/runbooks/database-failover.md
  • examples/runbooks/cache-invalidation.md
  • examples/runbooks/ddos-mitigation.md

Post-Mortem Template:

  • examples/postmortem-template.md - Complete blameless post-mortem structure

Communication Templates:

  • examples/communication-templates.md - Status updates, customer emails

On-Call Handoff:

  • examples/oncall-handoff-template.md - Weekly handoff format

Integration Scripts:

  • examples/integrations/pagerduty-slack.py
  • examples/integrations/statuspage-auto-update.py
  • examples/integrations/postmortem-generator.py

Scripts

Interactive Severity Classifier:

bash
python scripts/classify-severity.py

Asks questions to determine appropriate severity level based on impact and urgency.

Further Reading

Books:

  • Google SRE Book: "Postmortem Culture" (Chapter 15)
  • "The Phoenix Project" by Gene Kim
  • "Site Reliability Engineering" (Full book)

Online Resources:

  • Atlassian: "How to Run a Blameless Postmortem"
  • PagerDuty: "Incident Response Guide"
  • Google SRE: "Postmortem Culture: Learning from Failure"

Standards:

  • Incident Command System (ICS) - FEMA standard adapted for tech
  • ITIL Incident Management - Traditional IT service management

© ancoleman, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 18 other files (scripts, references) in skills/managing-incidents of ancoleman/ai-design-components.

  • SKILL.md
  • examples/communication-templates.md
  • examples/integrations/pagerduty-slack.py
  • examples/integrations/postmortem-generator.py
  • examples/integrations/statuspage-auto-update.py
  • examples/oncall-handoff-template.md
  • examples/postmortem-template.md
  • examples/runbooks/cache-invalidation.md
  • examples/runbooks/database-failover.md
  • examples/runbooks/ddos-mitigation.md
  • outputs.yaml
  • references/blameless-postmortems.md
  • references/escalation-matrix.md
  • references/incident-roles.md
  • references/incident-workflow.md
  • references/severity-classification.md
  • references/tool-comparison.md
  • … and 2 more

Open the folder on GitHubat commit 76551b7

Compare with similar skills

Managing Incidents next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Managing Incidents compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Managing Incidents this skillancoleman/ai-design-components525—~3.6kAutomated safety check: PassMIT
Oncallpigweed-project/pigweed548—~963Automated safety check: PassApache-2.0
Activation Governance Chaos RolloutAli-Marandi/DataSense107—~1.9kAutomated safety check: PassMIT
Incident Response686f6c61/alfred-dev117—~1.1kAutomated safety check: PassMIT
Superset Incident Triagesuperset-sh/superset15k—~1kAutomated safety check: PassCustom licence
Post-Incident DebriefVeryGoodOpenSource/vgv-wingspan109—~1.9kAutomated safety check: PassMIT

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Categories

Questions about Managing Incidents

What does Managing Incidents do?

Guide incident response from detection to post-mortem using SRE principles, severity classification, on-call management, blameless culture, and communication protocols. Managing Incidents is an agent skill from ancoleman/ai-design-components. Guide incident response from detection to post-mortem using SRE principles, severity classification, on-call management, blameless culture, and communication protocols.

When should I use Managing Incidents?

Managing Incidents fits situations like: setting up incident processes; designing escalation policies; conducting post-mortems.

How do I install Managing Incidents in Claude Code?

Run `npx skills add ancoleman/ai-design-components --skill managing-incidents -a claude-code`. Or copy the skill folder (skills/managing-incidents in ancoleman/ai-design-components) into .claude/skills/managing-incidents in your project. Claude Code loads it when a task matches its description.

How do I install Managing Incidents in Codex?

Run `npx skills add ancoleman/ai-design-components --skill managing-incidents -a codex`. Or copy the skill folder (skills/managing-incidents in ancoleman/ai-design-components) into .agents/skills/managing-incidents in your project. Codex loads it when a task matches its description.

Can I use Managing Incidents in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ancoleman/ai-design-components --skill managing-incidents -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/managing-incidents, .gemini/skills/managing-incidents, .github/skills/managing-incidents and .opencode/skills/managing-incidents in your project.

What does Managing Incidents need to run?

Going by SKILL.md and its folder, Managing Incidents needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Managing Incidents access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Managing Incidents safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Managing Incidents use?

Managing Incidents is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Managing Incidents use?

About 3.6k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 21k tokens, read only when the agent opens those files.

What are the alternatives to Managing Incidents?

Skills that share tags, products or a category with Managing Incidents: Oncall (pigweed-project/pigweed, 548 stars), Activation Governance Chaos Rollout (Ali-Marandi/DataSense, 107 stars), Incident Response (686f6c61/alfred-dev, 117 stars) and Superset Incident Triage (superset-sh/superset, 15k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Managing Incidents?

ancoleman (a GitHub user) maintains it in ancoleman/ai-design-components, which has 525 GitHub stars. The repository holds 75 skills in this directory. The repository was last updated on December 11, 2025.

Source: ancoleman/ai-design-components on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.